18560804. ARTIFICIAL INTELLIGENCE BASED COGNITIVE TEST SCRIPT GENERATION simplified abstract (Telefonaktiebolaget LM Ericsson (publ))
Contents
ARTIFICIAL INTELLIGENCE BASED COGNITIVE TEST SCRIPT GENERATION
Organization Name
Telefonaktiebolaget LM Ericsson (publ)
Inventor(s)
Harald Gustafsson of Lund (SE)
ARTIFICIAL INTELLIGENCE BASED COGNITIVE TEST SCRIPT GENERATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18560804 titled 'ARTIFICIAL INTELLIGENCE BASED COGNITIVE TEST SCRIPT GENERATION
The abstract describes a method of testing a network node in a communication system by utilizing natural language requirement specifications and test case specifications.
- Natural language requirement specification is obtained to describe the testing requirement associated with the network node.
- Test case specifications are selected from a library based on the natural language requirement specification.
- Textual features are extracted from the test case specifications to generate a feature vector.
- The feature vector is mapped to available test scripts for execution.
- Confidence scores are generated to measure the association of the test case specification with the selected test script.
Potential Applications: - Quality assurance in communication systems - Automated testing processes in network development
Problems Solved: - Streamlining the testing process for network nodes - Enhancing efficiency and accuracy in testing procedures
Benefits: - Improved testing accuracy - Time-saving in test case selection - Enhanced overall network performance
Commercial Applications: Title: Automated Network Node Testing System This technology can be utilized by telecommunications companies, network equipment manufacturers, and software developers to streamline their testing processes, ensuring the reliability and performance of their network nodes.
Questions about Network Node Testing: 1. How does this method improve the efficiency of testing network nodes?
- This method automates the test case selection process based on natural language requirements, saving time and improving accuracy.
2. What are the potential implications of using confidence scores in selecting test scripts?
- Confidence scores help measure the reliability of the association between test case specifications and selected test scripts, ensuring more accurate testing outcomes.
Original Abstract Submitted
A method of testing a network node in a communication system includes obtaining a natural language requirement specification that describes a testing requirement associated with the network node, and selecting one or more test case specifications from a library of test case specifications based on the natural language requirement specification. The method includes extracting textual features from the test case specifications, generating a feature vector including the extracted textual features from the test case specifications, and mapping the feature vector to a plurality of available test scripts. One or more of the plurality of available test scripts are selected for execution in response to the mapping of the feature vector, and for one or more of the selected test scripts, a confidence score is generated that measures a confidence of an association of the test case specification with the selected test script. Related systems are also disclosed.
